{"id":714,"date":"2022-07-08T12:59:50","date_gmt":"2022-07-08T12:59:50","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/?page_id=714"},"modified":"2022-10-06T12:44:16","modified_gmt":"2022-10-06T12:44:16","slug":"technology-workshops","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/","title":{"rendered":"Technology Workshops"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-714\" data-postid=\"714\" class=\"themify_builder_content themify_builder_content-714 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_lgd3772 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_81ar774 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_pmia8   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Take advantage of these workshops for a hands on demonstration of the latest in the industry. All attendees are welcome to join during the scheduled time or on demand following the conference. <b>Descriptions Below.<\/b><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_ykjb714 last\">\n                            <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_z9tm198 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_zqc2199 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_nzp8199 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/AMPL-300.jpg\" width=\"130\" class=\"wp-post-image wp-image-1297\" title=\"AMPL-300\" alt=\"AMPL-300\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_rci3199 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_8acp200   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>AMPL<\/strong><\/h2>\n<h2>Adding Optimization to Your Applications, from Prototyping to Deployment: How AMPL is Making It Faster and Easier<\/h2>\n<p>Presented by: Robert Fourer<br>Saturday, October 15, 1-3:30pm<br>Convention Center &#8211; Room 106<\/p>\n<p>Optimization is the most widely adopted technology of Operations Research and Analytics, but also the most challenging to implement:<\/p>\n<ul>\n<li>How can you <em>prototype<\/em> an optimization application fast enough to get results before the problem owner loses interest?<\/li>\n<li>How can you <em>develop<\/em> optimization-based procedures to get results you can use, within your time and resource requirements?<\/li>\n<li>How can you <em>integrate<\/em> optimization into your enterprise\u2019s decision-making systems?<\/li>\n<li>How can you <em>deploy<\/em> optimization in modern cloud and container environments?<\/li>\n<\/ul>\n<p>In this presentation, we show how AMPL gets you going without elaborate training, extra programmers, or premature commitments. We specially highlight <strong>new AMPL features<\/strong> that make optimization modeling faster, easier, and more effective than ever.<\/p>\n<p>We start by introducing <em>model-based optimization,<\/em> the key approach to streamlining the optimization modeling cycle and building successful applications today. Then we demonstrate how AMPL\u2019s design of a language and system for model-based optimization is able to offer exceptional power of expression and speed of execution while maintaining ease of use.<\/p>\n<p>The presentation continues by taking a single example through successive stages of the optimization modeling lifecycle, highlighting recent enhancements:<\/p>\n<ul>\n<li><em>Prototyping<\/em> in an interactive command environment, with a new solver interface that accepts more natural modeling language expressions<\/li>\n<li><em>Development<\/em> of optimization procedures via AMPL\u2019s built-in scripting language and enhanced spreadsheet\/database interfaces<\/li>\n<li><em>Integration<\/em> through APIs to widely used programming languages, including Python with new notebook support<\/li>\n<li><em>Deployment<\/em> using new, flexible installation and licensing support<\/li>\n<\/ul>\n<p>Our example is simple enough for participants to follow its development through the course of this short workshop, yet rich enough to serve as a foundation for appreciating model-based optimization in practice. Several case studies of AMPL applications round out the presentation by showing how model-based optimization has been successful in varied areas of analytics practice.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_3n879 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_mlhj9 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_5m6h9 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"75\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/DecisionBrain-Logo.png\" class=\"wp-post-image wp-image-762\" title=\"DecisionBrain-Logo\" alt=\"DecisionBrain-Logo\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_qvrv10 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_djfy10   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>DecisionBrain<\/strong><\/h2>\n<h2>DB Gene: Bring your optimization model to the cloud, create dashboards and connect it with Tableau<\/h2>\n<p>Presented by: Patrice Oms and Issam Mazhoud<br>Saturday, October 15, 1-3:30pm<br>Convention Center &#8211; Room 102<\/p>\n<p>DB Gene is a development platform to easily customize and deploy cost-effective optimization solutions. It helps reduce development time and costs by over 70%. <br>It allows to quickly create and deploy optimization solutions for business users.. <br><br>In this workshop, we will leverage a workforce optimization model and we will:<\/p>\n<ul>\n<li>Deploy it on the cloud<\/li>\n<li>Import data from excel and edit it in the web UI<\/li>\n<li>Create an interactive and intuitive data visualization with out-of-the-box web user interface widgets<\/li>\n<li>Run the model and manage several computation processes in parallel with the tasks server, on-premise, or in the Cloud.<\/li>\n<li>Compare scenarios and do &nbsp;What-if Analysis<\/li>\n<li>Create a business reporting dashboards using our new Tableau integration<\/li>\n<\/ul>\n<p>DB Gene is based on state-of-the-art technologies, easy to find on the market, and allows you to quickly bootstrap an application and make the most of your optimization model.&nbsp;<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_8jiz595 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_p42z597 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_9cp9598 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"241\" height=\"94\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/03\/FICO-Xpress-Optimization-Color.jpg\" class=\"wp-post-image wp-image-236\" title=\"FICO-Xpress-Optimization Color\" alt=\"FICO Xpress Optimization logo\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_no67598 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_59xz598   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>FICO<\/strong><\/h2>\n<h2>Calling all OR Heroes: Learn&nbsp;How to&nbsp;Model and&nbsp;Deploy&nbsp;Solutions in 75%&nbsp;Less&nbsp;Time with FICO<sup>\u00ae<\/sup> Xpress Insight<\/h2>\n<p>Presented by: Jeff Day, Principal Consultant<br>Saturday, October 15, 4-6:30pm<br>Convention Center &#8211; Room 104<\/p>\n<p>Join our hands-on workshop to experience how FICO<sup>\u00ae<\/sup> Xpress Insight helps<strong><em>&nbsp;<\/em><\/strong>you read data in any format from any source, integrates with your own machine learning and solvers (or Xpress Solver), enables collaboration with business users, deploys decision support or automated solutions<strong><em>&nbsp;<\/em><\/strong>in the cloud or on premises \u2014<em>and does it all in 75% less time<\/em>.<\/p>\n<ul>\n<li>Get the overview of the great new features of FICO<sup>\u00ae<\/sup> Xpress Solver, Mosel, Workbench, and Insight<\/li>\n<li>Learn how you can rapidly deploy Python models with FICO Xpress Insight<\/li>\n<li>Discover the new View Designer, which reduces GUI development times from minutes to seconds<\/li>\n<li>Experience&nbsp;real-world business examples in which developers integrate their own solver(s) with the powerful Xpress Insight platform<\/li>\n<li>See how the flexible, free-to-use Xpress Mosel modeling and programming language allows you to&nbsp;make your solver available to thousands of other Mosel users<\/li>\n<\/ul>\n<p>All attendees will receive&nbsp;a link to the&nbsp;complimentary FICO<sup>\u00ae<\/sup>&nbsp;Xpress Optimization Community License.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_g6ws504 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_hhhy504 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_xdg7504 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"108\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/Frontline_Solvers_400px_Logo.png\" class=\"wp-post-image wp-image-1282\" title=\"Frontline_Solvers_400px_Logo\" alt=\"Frontline_Solvers_400px_Logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/Frontline_Solvers_400px_Logo.png 400w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/Frontline_Solvers_400px_Logo-300x81.png 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_csmr504 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k0fk505   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>Frontline Systems Inc.<\/strong><\/h2>\n<h2>RASON: The Easier Way to Build, Solve, Deploy and Manage All Your Analytic Models<\/h2>\n<p>Presented by: Daniel H. Fylstra, President<br \/>\nSaturday, October 15, 4-6:30pm<br \/>\nConvention Center &#8211; Room 106<\/p>\n<p>This workshop will highlight what\u2019s new in RASON<sup>&reg;<\/sup> (RESTful Analytic Solver\u00ae Object Notation) \u2013 our cloud platform for model deployment available \u201caround the clock\u201d since 2015, that manages your full range of analytic models \u2013 optimization, simulation, machine learning, and business rules \u2013 whether created in a modeling language, in Excel with our Analytic Solver<sup>&reg;<\/sup>, or even in other vendors\u2019 software tools using PMML or DMN.<\/p>\n<p>See how easily you can connect models to cloud data sources, use different model types together in multi-stage decision flows (without writing code), schedule automated data updates and model solves, run models \u201con demand\u201d and access results from low-code \/ no-code tools like Power Apps, Power Automate and Power BI, and track model versions, runs, and resource usage.\u00a0 And learn how RASON Organization Accounts leverage Azure cyber security features to create a modern \u201czero trust\u201d solution.<\/p>\n<p>As a bonus, you\u2019ll be among the first to see our new, patent-pending, fully automated risk analysis of machine learning models \u2013 easy to use in RASON, in Excel with Analytic Solver, and in C++, C#, Java, Python and R with Solver SDK\u00ae.\u00a0 (If you miss this, check our Sunday tutorial!) \u00a0See if you agree that this will become the new best practice for machine learning model development and evaluation.<\/p>\n    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_aqxg378 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_p8g6379 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_kr79379 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/gurobi_logo.png\" width=\"230\" class=\"wp-post-image wp-image-799\" title=\"gurobi_logo\" alt=\"gurobi_logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/gurobi_logo.png 500w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/gurobi_logo-300x79.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_9h18380 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_i4ga380   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>Gurobi Optimization<\/strong><\/h2>\n<h2>Gurobi 10.0 Helping You to Build, Solve, and Deploy Optimization Models<\/h2>\n<p>Presented by: Zonghao Gu, CTO and Co-founder, Ed Klotz, Ph.D, Mathematical Optimization Specialist, Alison Cozad, Ph.D, Optimization Engineer, Lindsay Montanari, Academic Program Director<br>Saturday, October 15, 4-6:30pm<br>Convention Center &#8211; Room 105<\/p>\n<p>In this workshop, attendees will get a first look at our latest product release, Gurobi 10.0\u2014including exciting performance improvements to Gurobi\u2019s core algorithms. We\u2019ll also highlight features that will make the model-building and solving process easier. To help your model building process, we will share our new Python packages and Gurobipy enhancements that incorporate machine learning into model formulations, improve the matrix API to align with NumPy conventions, and make it even easier to use Pandas with Gurobi. To make your solving process easier, we will show how we&#8217;ve enhanced parameter tuning tool and show a tool to identify the source of a model\u2019s numerical problems.<\/p>\n<p>The workshop will also include a panel discussion, with optimization experts across academia, industries, and Gurobi, who will discuss the origins, veracity, and impact of current optimization myths, misconceptions, and imperfect understandings.<\/p>\n<p>We\u2019ll also be presenting a live demo of the Burrito Optimization Game (<a href=\"http:\/\/www.burritooptimizationgame.com\/\" data-feathr-click-track=\"true\">BurritoOptimizationGame.com<\/a>), the educational resource that introduces players to the power and capabilities of mathematical optimization.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_77ha381 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_0t5l389 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_u384390 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"78\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/KNIME_Logo_Scalable.png\" class=\"wp-post-image wp-image-737\" title=\"KNIME_Logo_Scalable\" alt=\"KNIME_Logo_Scalable\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_06t5391 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_8asw392   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><b>KNIME<\/b><\/h2>\n<h3>Data Science Life Cycle with KNIME<\/h3>\n<p>Presented by: Satoru Hayasaka and Aline Bessa<br>Saturday, October 15, 1-3:30pm<br>Convention Center &#8211; Room 101<\/p>\n<p>In this workshop, we will introduce KNIME Analytics Platform, an open-source tool for codeless data science. We will present an overview of how KNIME fits into the data science life cycle from data ingestion to model building. This will include a live demonstration of how to use KNIME. We will then present practical use cases of KNIME in various data science projects, such as text processing, time series analysis, and deep learning. We will also showcase deployment of workflows built in KNIME.&nbsp;No background in KNIME is required to follow the topics in this workshop.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_wwni64 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_2xd364 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_d6oz64 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"143\" height=\"129\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/09\/Lindo_Systems_Inc.png\" class=\"wp-post-image wp-image-1794\" title=\"Lindo_Systems_Inc\" alt=\"Lindo_Systems_Inc\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_8q3064 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_g3hx65   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><b>LINDO Systems, Inc.&nbsp;<\/b><\/h2>\n<h2>New Releases of LINDO API 14, What\u2019s<em>Best!<\/em> 18, and LINGO 20<\/h2>\n<p>Presented by: Linus Schrage<br>Saturday, October 15, 1-3:30pm<br>Convention Center &#8211; Room 107<\/p>\n<p>LINDO Systems has just released new versions of the LINDO API callable library, the What\u2019s<em>Best!<\/em> solver add-in for Excel, and the LINGO modeling language. We will be demonstrating the extensive set of new features found in these three products.<\/p>\n<p><strong>LINDO API 14: New Features<\/strong> &nbsp;<\/p>\n<p>Nonlinear\/Global Solver Improvements:<\/p>\n<ul>\n<li>Ratio objectives, e.g., max (<em>u+v<\/em>)\/(<em>x+y <\/em>) solved order of magnitude faster.&nbsp;<\/li>\n<li>Linearization improvements: More expressions (lots more beyond Max, Min, and Abs) can be automatically linearized, so you can now use a fast linear solver vs a much slower (30x?) nonlinear solver.<\/li>\n<li>Improved exploitation of QP, Conic, Power, Exponential constraints.<\/li>\n<li>Indicator constraint support, e.g., z = 0 implies x + y &lt;= 0;<\/li>\n<li>Problematic functions handled more robustly. In consumer behavior models one encounters Power utility function (<em>x^g<\/em>-1)\/<em>g<\/em>&nbsp; or Exponential ratio function (exp(<em>g<\/em>) \u2013 1)\/<em>g<\/em>. LINDO robustly avoids the numerical challenges that occur when <em>g<\/em> approaches 0.<\/li>\n<\/ul>\n<p>Linear-Integer solver:<\/p>\n<ul>\n<li>Improved heuristics for general integer programs.<\/li>\n<li>Alternative primal\/dual optima enumeration for an LP.&nbsp; Successive calls to LSgetNextBestSol() nonredundantly gives successive corner points.&nbsp;Standard solution queries can be used&nbsp;following each call to LSgetNextBestSol.&nbsp;<\/li>\n<\/ul>\n<p>Interfaces improved for:<\/p>\n<ul>\n<li>Julia\/JuMP.<\/li>\n<li>Python interface installations now easier via pip (pypi.org)<\/li>\n<li>Matlab interface has two alternative methods for linear and integer models, LSlinprog and LSintprog, mimicking Matlab\u2019s &nbsp;linprog and intprog.<\/li>\n<\/ul>\n<p><strong>What\u2019s<em>Best!<\/em><\/strong><strong>: New Features&nbsp;<\/strong><\/p>\n<p>New capability to accept any Excel function in an optimization model as long as the model is either linear are pure binary(possibly nonlinear).<\/p>\n<p>Performance Improvements:<\/p>\n<p>Significantly better handling of \u201cinfinite\u201d Excel ranges, where user specifies an unnecessarily large range, e.g., an entire column.<\/p>\n<p>SUMIF and SUMIFS are handled better\/faster.<\/p>\n<p><strong>LINGO 20: New Features&nbsp;<\/strong><\/p>\n<p>Extensive enhancement to the API&nbsp; interface. It is now much easier to integrate your LINGO &nbsp;model into your own custom designed system.&nbsp; There are improved\/simplified interfaces for:<\/p>\n<ul>\n<li>REST API&nbsp; distributed computing interface. If you want to have an &nbsp;optimization based application accessible on the web from smart phones and&nbsp;&nbsp;other devices, this is now easier to do.<\/li>\n<li>Docker Images are now easier to create.&nbsp; Makes it easier to move an &nbsp;application from one server to another with minimum hassle, Docker has proven to &nbsp;be a popular way of achieving such portability.&nbsp;<\/li>\n<li>R&nbsp; statistical package interface is now easier\/simpler.&nbsp;<\/li>\n<li>Python package interface is now easier\/simpler.<\/li>\n<\/ul>\n<p>Excel interface is considerably generalized.&nbsp; Much easier to integrate a LINGO model into an Excel&nbsp;&nbsp;spreadsheet.&nbsp; The end user sees it as just a smart Excel spreadsheet that can solve say,&nbsp;&nbsp;a cutting stock problem for metal fabrication, or vehicle routing and delivery problems, or&nbsp;a supply chain shipping assignment problem.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_u7rz106 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_nmqk106 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_c1tb107 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/JMP-logo-horz-blue-and-black-with-tagline.png\" width=\"200\" class=\"wp-post-image wp-image-1422\" title=\"JMP-logo-horz-blue-and-black-with-tagline\" alt=\"JMP-logo-horz-blue-and-black-with-tagline\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/JMP-logo-horz-blue-and-black-with-tagline.png 557w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/JMP-logo-horz-blue-and-black-with-tagline-300x82.png 300w\" sizes=\"(max-width: 557px) 100vw, 557px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_12kz107 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cks9107   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>JMP, A SAS Company<\/strong><\/h2>\n<h2>No-Code Predictive Modeling in JMP Pro<\/h2>\n<p>Presented by: Ross Metusalem, Academic Ambassador<br>Saturday, October 15, 1-3:30pm<br>Convention Center &#8211; Room 104<\/p>\n<p>JMP Pro is no-code statistics and data science software with advanced capabilities in predictive modeling, data preparation, text mining, interactive graphing, and other areas. Its easy and efficient interface allows users of all skill levels to leverage state-of-the-art tools for model building, validation, visualization, and deployment. In this session, we will work through a predictive modeling case study that demonstrates the use of JMP Pro for:<\/p>\n<ul>\n<li>Data importing and preparation<\/li>\n<li>Exploratory data visualization<\/li>\n<li>Building models with penalized regression, neural nets, boosted trees, and more<\/li>\n<li>Model cross-validation, comparison, and selection<\/li>\n<li>Interactively visualizing and exploring model predictions<\/li>\n<li>Identifying optimal decision thresholds<\/li>\n<li>Deploying models in Python, SAS, and other languages<\/li>\n<\/ul>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_o9vz101 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_tonz101 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_g5z3101 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/nextmv-logo-horizontal-color.jpg\" width=\"230\" class=\"wp-post-image wp-image-1045\" title=\"nextmv-logo-horizontal-color\" alt=\"nextmv-logo-horizontal-color\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_2jal102 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_jr7m102   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><b>Nextmv<\/b><\/h2>\n<h2>Work with decisions as code: An introduction to custom modeling with Nextmv<\/h2>\n<p>Presented by: Ryan O\u2019Neil, Ph.D., Tiffany Bogich, Ph.D., and Carolyn Mooney<br>Saturday, October 15, 4-6:30pm<br>Convention Center &#8211; Room 103<\/p>\n<p>This workshop will provide an overview of the Nextmv decision automation platform for building, testing, and deploying optimization models in Go. We will teach you all of the Go concepts you need to know to start solving optimization problems with the Nextmv CLI and SDK. We\u2019ll talk about custom modeling constructs used, and present several interactive examples of varying complexity and that require different solving paradigms \u2013 from a hybrid ALNS &#8211; Decision Diagram solver to an open source MIP solver.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_rb0s379 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_t97t382 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_2v4c382 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/OptimizationDirectOd_cmyk_Small.jpg\" width=\"230\" class=\"wp-post-image wp-image-788\" title=\"OptimizationDirectOd_cmyk_Small\" alt=\"OptimizationDirectOd_cmyk_Small\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_aelv383 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_mz9k383   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>Optimization Direct<\/strong><\/h2>\n<h2>Solving the Most Difficult Mixed Integer Programming Models with ODH<\/h2>\n<p>Presented by: Robert Ashford<br>Saturday, October 15, 1-3:30pm<br>Convention Center &#8211; Room 103<\/p>\n<p>ODH is a package for accelerating MIP optimization and extending its range. It runs concurrently and synchronously with a MIP optimizer exchanging information with it.<\/p>\n<p>Although ODH was primarily designed to enable MIP optimization to be applied to models too large or difficult to be amenable to the standard commercial MIP optimizers such as CPLEX, Gurobi or other commercial packages, it also accelerates the optimization of most models that are regularly solved with standard MIP.<\/p>\n<p>ODH has been developed by Optimization Direct Inc. over the past 8 years to handle real world customer models for which standard MIP was not effective. On Optimization Direct\u2019s standard hundred model sub-set of mid-sized models taken from its library of nearly 1000 real customer models, ODH|CPLEX and ODH|Gurobi reduce the average optimality gap after two hours to nearly half that found by using the optimizer alone. The set was chosen to be representative rather than amenable to ODH.<\/p>\n<p>On the MIPLIB version 7 open set of 29 models to which no integer feasible solution had been found, ODH|CPLEX found solutions to 5 of them in 2 hours. Of the remaining 257 models to which no optimal solution had been proven, ODH found and proved optimal solutions to 13 of them and found better solutions to any that had been previously found to 45% of them. Again, with runs of just 2 hours.<\/p>\n<p>Optimization Direct has customers in the scheduling, telecoms, retail, logistics and supply chain areas who use ODH. At least three of these have applications that would fail without ODH technology. In January 2022, one said \u2018ODH|CPLEX is comparable to the best optimization technology available from anyone on my small models and much superior to any other optimizer on the large ones\u2019.<\/p>\n<p>ODH uses a number of heuristics, especially a novel decomposition based method, and information from a MIP optimizer to feed that MIP optimizer with good solutions. This is made possible by its new thread synchronization technology within which the ODH and MIP threads can work efficiently.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_aa7x597 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_ih61598 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_sbhu598 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/provalis-1.png\" width=\"250\" class=\"wp-post-image wp-image-1376\" title=\"provalis\" alt=\"provalis\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_pwhx599 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cslh599   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>Provalis Research<\/strong><\/h2>\n<p>Saturday, October 15, 4-6:30pm<br>Convention Center &#8211; Room 107<\/p>\n<p>Provalis Research CEO Normand Peladeau will identify the main challenges in the analysis of unstructured text data and demonstrates how Provalis Research\u2019s text analytics software WordStat can help you deal with those challenges and analyze large amounts of text data using exploratory text-mining and quantitative content analysis. He will show you how you can quickly and easily explore very large amounts of text data with advanced topic modeling and other techniques as well as how to build and use dictionaries for automated content analysis.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_yk2n218 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_omox219 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_r7ve219 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/sas-logo-midnight.png_300.png\" width=\"200\" class=\"wp-post-image wp-image-1385\" title=\"sas-logo-midnight.png_300\" alt=\"sas-logo-midnight.png_300\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_nop1219 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_eman220   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>SAS<\/strong><\/h2>\n<h2>SAS Analytics, Digital Twins, and Supply Chains<\/h2>\n<p>Presented by: Yan Xu, R&amp;D Director, Rob Pratt, Senior R&amp;D Manager, Damian Herrick, Principal Data Scientist, and Bahar Biller, Principal Operations Research Specialist<br \/>\nSaturday, October 15, 1-3:30pm<br \/>\nConvention Center &#8211; Room 105<\/p>\n<p>SAS offers extensive analytic capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic functionality is also available through the open, cloud-enabled design of SAS<sup>&reg;<\/sup> Viya<sup>&reg;<\/sup>.\u00a0 You can program in SAS or in other languages &#8211; Python, Lua, Java, and R. SAS Analytics is equipped with AI-enabled automations and modern low-code or no-code user interfaces that democratize data science usage in your organization and offer unparalleled speed to value.<\/p>\n<p>We\u2019ll first review the SAS analytics portfolio, then highlight recently added optimization features, and finally explore case studies in optimization, network analytics, and simulation, with an emphasis on projects involving digital twins and supply chains. The concept of digital twin plays a paramount role in the digital transformation efforts of our customers. We will describe how we envision digital twins, share our development framework, and highlight SAS enabling technologies and differentiators. We will further share our experience of building supply chain digital twins and conclude with an overview of SAS customer outcomes.<\/p>\n    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_7swc378 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_54dl379 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_hecn379 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/Taipy_Logo.png\" width=\"100\" class=\"wp-post-image wp-image-806\" title=\"Taipy_Logo\" alt=\"Taipy_Logo\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_rbnd379 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_0v21379   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>Taipy<\/strong><\/h2>\n<h2><span style=\"font-weight: 400;\">The Next Generation Python Application Builder<\/span><\/h2>\n<p>Presented by: Martin Shell<br>Saturday, October 15, 4-6:30pm<br>Convention Center &#8211; Room 101<\/p>\n<p><span style=\"font-weight: 400;\">This workshop will present an end-to-end view of Taipy, a Python framework for building production-grade web applications designed to bring the value of complex analytics to the end-user.&nbsp;&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Members of the OR community are typically trained in the theory and practice of developing and applying complex algorithms to the solution of organizational problems. Too frequently the results of these efforts are not used to their full potential.&nbsp; The critical piece is the transformation of these models into applications that can be leveraged by business users.&nbsp; The gap is frequently the challenge of collaboration between data scientists and IT professionals.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Taipy consists of two key components: Taipy GUI and Taipy Core.&nbsp; Each of these is designed to contribute to the creation of high-performance highly responsive interactive applications with a minimum of coding, allowing data scientists to deliver applications for end-users, rather than raw algorithms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This workshop will provide an overview of both components of Taipy, demonstrating the creation of a full application from start to finish. We will also present some examples of successful projects completed by customers.&nbsp; Attendees with basic knowledge of Python will leave with the ability to build applications using the open source release of Taipy.<\/span><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_wip3843 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_hhjp845 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_n05q845 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-scaled.jpg\" width=\"230\" class=\"wp-post-image wp-image-757\" title=\"UA_Logo_Horizontal\" alt=\"UA_Logo_Horizontal\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-scaled.jpg 2560w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-300x72.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-1024x246.jpg 1024w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-768x184.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-1536x368.jpg 1536w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-2048x491.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_tc2n845 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k2wt845   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2><strong>University of Arkansas<\/strong><\/h2>\n<h2>Analytics in the Classroom: A Hands-on Approach<\/h2>\n<p>Presented by: Ron Freeze, Director of Enterprise Systems, Sam M. Walton College of Business&nbsp;<br>Saturday, October 15, 4-6:30pm<br>Convention Center &#8211; Room 102<\/p>\n<p>The University of Arkansas would like to invite you to this workshop that will provide faculty participants with hands-on training in the SAS Viya analytics applications. These exercises focus on the use of data analytics and big data. The workshop will focus on connecting directly from SAS Viya to the Dillards data set that resides on the Teradata Intelliflex platform at the University of Arkansas. The data set used is updated weekly by Dillards and allows predictive analytics along with machine learning (and other analytic techniques) to be tested and validated in real time during the semester.&nbsp;&nbsp; All materials and resources demonstrated at the workshop are available free of charge to the participants and the students in their courses.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Take advantage of these workshops for a hands on demonstration of the latest in the industry. All attendees are welcome to join during the scheduled time or on demand following the conference. Descriptions Below. AMPL Adding Optimization to Your Applications, from Prototyping to Deployment: How AMPL is Making It Faster and Easier Presented by: Robert [&hellip;]<\/p>\n","protected":false},"author":1001077,"featured_media":7,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-714","page","type-page","status-publish","has-post-thumbnail","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Technology Workshops - 2022 INFORMS Annual Meeting<\/title>\n<meta name=\"description\" content=\"All attendees are welcome to take advantage of these workshops for a hands on demonstration of the latest in the industry.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Technology Workshops\" \/>\n<meta property=\"og:description\" content=\"All attendees are welcome to take advantage of these workshops for a hands on demonstration of the latest in the industry.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/\" \/>\n<meta property=\"og:site_name\" content=\"2022 INFORMS Annual Meeting\" \/>\n<meta property=\"article:modified_time\" content=\"2022-10-06T12:44:16+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"361\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/\",\"name\":\"Technology Workshops - 2022 INFORMS Annual Meeting\",\"isPartOf\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png\",\"datePublished\":\"2022-07-08T12:59:50+00:00\",\"dateModified\":\"2022-10-06T12:44:16+00:00\",\"description\":\"All attendees are welcome to take advantage of these workshops for a hands on demonstration of the latest in the industry.\",\"breadcrumb\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#primaryimage\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png\",\"contentUrl\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png\",\"width\":600,\"height\":361},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Technology Workshops\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/#website\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/\",\"name\":\"2022 INFORMS Annual Meeting\",\"description\":\"October 16-19, 2022 | Indianapolis, IN\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Technology Workshops - 2022 INFORMS Annual Meeting","description":"All attendees are welcome to take advantage of these workshops for a hands on demonstration of the latest in the industry.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/","og_locale":"en_US","og_type":"article","og_title":"Technology Workshops","og_description":"All attendees are welcome to take advantage of these workshops for a hands on demonstration of the latest in the industry.","og_url":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/","og_site_name":"2022 INFORMS Annual Meeting","article_modified_time":"2022-10-06T12:44:16+00:00","og_image":[{"width":600,"height":361,"url":"http:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png","type":"image\/png"}],"twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/","url":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/","name":"Technology Workshops - 2022 INFORMS Annual Meeting","isPartOf":{"@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/#website"},"primaryImageOfPage":{"@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#primaryimage"},"image":{"@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#primaryimage"},"thumbnailUrl":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png","datePublished":"2022-07-08T12:59:50+00:00","dateModified":"2022-10-06T12:44:16+00:00","description":"All attendees are welcome to take advantage of these workshops for a hands on demonstration of the latest in the industry.","breadcrumb":{"@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#primaryimage","url":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png","contentUrl":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2021\/08\/2022_INFORMS_Annual_Meeting_logo_web.png","width":600,"height":361},{"@type":"BreadcrumbList","@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/technology-workshops\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/"},{"@type":"ListItem","position":2,"name":"Technology Workshops"}]},{"@type":"WebSite","@id":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/#website","url":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/","name":"2022 INFORMS Annual Meeting","description":"October 16-19, 2022 | Indianapolis, IN","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"builder_content":"<p>Take advantage of these workshops for a hands on demonstration of the latest in the industry. All attendees are welcome to join during the scheduled time or on demand following the conference. <b>Descriptions Below.<\/b><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/AMPL-300.jpg\" width=\"130\" title=\"AMPL-300\" alt=\"AMPL-300\">\n<h2><strong>AMPL<\/strong><\/h2> <h2>Adding Optimization to Your Applications, from Prototyping to Deployment: How AMPL is Making It Faster and Easier<\/h2> <p>Presented by: Robert Fourer<br>Saturday, October 15, 1-3:30pm<br>Convention Center - Room 106<\/p> <p>Optimization is the most widely adopted technology of Operations Research and Analytics, but also the most challenging to implement:<\/p> <ul> <li>How can you <em>prototype<\/em> an optimization application fast enough to get results before the problem owner loses interest?<\/li> <li>How can you <em>develop<\/em> optimization-based procedures to get results you can use, within your time and resource requirements?<\/li> <li>How can you <em>integrate<\/em> optimization into your enterprise\u2019s decision-making systems?<\/li> <li>How can you <em>deploy<\/em> optimization in modern cloud and container environments?<\/li> <\/ul> <p>In this presentation, we show how AMPL gets you going without elaborate training, extra programmers, or premature commitments. We specially highlight <strong>new AMPL features<\/strong> that make optimization modeling faster, easier, and more effective than ever.<\/p> <p>We start by introducing <em>model-based optimization,<\/em> the key approach to streamlining the optimization modeling cycle and building successful applications today. Then we demonstrate how AMPL\u2019s design of a language and system for model-based optimization is able to offer exceptional power of expression and speed of execution while maintaining ease of use.<\/p> <p>The presentation continues by taking a single example through successive stages of the optimization modeling lifecycle, highlighting recent enhancements:<\/p> <ul> <li><em>Prototyping<\/em> in an interactive command environment, with a new solver interface that accepts more natural modeling language expressions<\/li> <li><em>Development<\/em> of optimization procedures via AMPL\u2019s built-in scripting language and enhanced spreadsheet\/database interfaces<\/li> <li><em>Integration<\/em> through APIs to widely used programming languages, including Python with new notebook support<\/li> <li><em>Deployment<\/em> using new, flexible installation and licensing support<\/li> <\/ul> <p>Our example is simple enough for participants to follow its development through the course of this short workshop, yet rich enough to serve as a foundation for appreciating model-based optimization in practice. Several case studies of AMPL applications round out the presentation by showing how model-based optimization has been successful in varied areas of analytics practice.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/DecisionBrain-Logo.png\" title=\"DecisionBrain-Logo\" alt=\"DecisionBrain-Logo\">\n<h2><strong>DecisionBrain<\/strong><\/h2> <h2>DB Gene: Bring your optimization model to the cloud, create dashboards and connect it with Tableau<\/h2> <p>Presented by: Patrice Oms and Issam Mazhoud<br>Saturday, October 15, 1-3:30pm<br>Convention Center - Room 102<\/p> <p>DB Gene is a development platform to easily customize and deploy cost-effective optimization solutions. It helps reduce development time and costs by over 70%. <br>It allows to quickly create and deploy optimization solutions for business users.. <br><br>In this workshop, we will leverage a workforce optimization model and we will:<\/p> <ul> <li>Deploy it on the cloud<\/li> <li>Import data from excel and edit it in the web UI<\/li> <li>Create an interactive and intuitive data visualization with out-of-the-box web user interface widgets<\/li> <li>Run the model and manage several computation processes in parallel with the tasks server, on-premise, or in the Cloud.<\/li> <li>Compare scenarios and do &nbsp;What-if Analysis<\/li> <li>Create a business reporting dashboards using our new Tableau integration<\/li> <\/ul> <p>DB Gene is based on state-of-the-art technologies, easy to find on the market, and allows you to quickly bootstrap an application and make the most of your optimization model.&nbsp;<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/03\/FICO-Xpress-Optimization-Color.jpg\" title=\"FICO-Xpress-Optimization Color\" alt=\"FICO Xpress Optimization logo\">\n<h2><strong>FICO<\/strong><\/h2> <h2>Calling all OR Heroes: Learn&nbsp;How to&nbsp;Model and&nbsp;Deploy&nbsp;Solutions in 75%&nbsp;Less&nbsp;Time with FICO<sup>\u00ae<\/sup> Xpress Insight<\/h2> <p>Presented by: Jeff Day, Principal Consultant<br>Saturday, October 15, 4-6:30pm<br>Convention Center - Room 104<\/p> <p>Join our hands-on workshop to experience how FICO<sup>\u00ae<\/sup> Xpress Insight helps<strong><em>&nbsp;<\/em><\/strong>you read data in any format from any source, integrates with your own machine learning and solvers (or Xpress Solver), enables collaboration with business users, deploys decision support or automated solutions<strong><em>&nbsp;<\/em><\/strong>in the cloud or on premises \u2014<em>and does it all in 75% less time<\/em>.<\/p> <ul> <li>Get the overview of the great new features of FICO<sup>\u00ae<\/sup> Xpress Solver, Mosel, Workbench, and Insight<\/li> <li>Learn how you can rapidly deploy Python models with FICO Xpress Insight<\/li> <li>Discover the new View Designer, which reduces GUI development times from minutes to seconds<\/li> <li>Experience&nbsp;real-world business examples in which developers integrate their own solver(s) with the powerful Xpress Insight platform<\/li> <li>See how the flexible, free-to-use Xpress Mosel modeling and programming language allows you to&nbsp;make your solver available to thousands of other Mosel users<\/li> <\/ul> <p>All attendees will receive&nbsp;a link to the&nbsp;complimentary FICO<sup>\u00ae<\/sup>&nbsp;Xpress Optimization Community License.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/Frontline_Solvers_400px_Logo.png\" title=\"Frontline_Solvers_400px_Logo\" alt=\"Frontline_Solvers_400px_Logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/Frontline_Solvers_400px_Logo.png 400w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/Frontline_Solvers_400px_Logo-300x81.png 300w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/>\n<h2><strong>Frontline Systems Inc.<\/strong><\/h2> <h2>RASON: The Easier Way to Build, Solve, Deploy and Manage All Your Analytic Models<\/h2> <p>Presented by: Daniel H. Fylstra, President<br \/> Saturday, October 15, 4-6:30pm<br \/> Convention Center - Room 106<\/p> <p>This workshop will highlight what\u2019s new in RASON<sup>&reg;<\/sup> (RESTful Analytic Solver\u00ae Object Notation) \u2013 our cloud platform for model deployment available \u201caround the clock\u201d since 2015, that manages your full range of analytic models \u2013 optimization, simulation, machine learning, and business rules \u2013 whether created in a modeling language, in Excel with our Analytic Solver<sup>&reg;<\/sup>, or even in other vendors\u2019 software tools using PMML or DMN.<\/p> <p>See how easily you can connect models to cloud data sources, use different model types together in multi-stage decision flows (without writing code), schedule automated data updates and model solves, run models \u201con demand\u201d and access results from low-code \/ no-code tools like Power Apps, Power Automate and Power BI, and track model versions, runs, and resource usage.\u00a0 And learn how RASON Organization Accounts leverage Azure cyber security features to create a modern \u201czero trust\u201d solution.<\/p> <p>As a bonus, you\u2019ll be among the first to see our new, patent-pending, fully automated risk analysis of machine learning models \u2013 easy to use in RASON, in Excel with Analytic Solver, and in C++, C#, Java, Python and R with Solver SDK\u00ae.\u00a0 (If you miss this, check our Sunday tutorial!) \u00a0See if you agree that this will become the new best practice for machine learning model development and evaluation.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/gurobi_logo.png\" width=\"230\" title=\"gurobi_logo\" alt=\"gurobi_logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/gurobi_logo.png 500w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/gurobi_logo-300x79.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\n<h2><strong>Gurobi Optimization<\/strong><\/h2> <h2>Gurobi 10.0 Helping You to Build, Solve, and Deploy Optimization Models<\/h2> <p>Presented by: Zonghao Gu, CTO and Co-founder, Ed Klotz, Ph.D, Mathematical Optimization Specialist, Alison Cozad, Ph.D, Optimization Engineer, Lindsay Montanari, Academic Program Director<br>Saturday, October 15, 4-6:30pm<br>Convention Center - Room 105<\/p> <p>In this workshop, attendees will get a first look at our latest product release, Gurobi 10.0\u2014including exciting performance improvements to Gurobi\u2019s core algorithms. We\u2019ll also highlight features that will make the model-building and solving process easier. To help your model building process, we will share our new Python packages and Gurobipy enhancements that incorporate machine learning into model formulations, improve the matrix API to align with NumPy conventions, and make it even easier to use Pandas with Gurobi. To make your solving process easier, we will show how we've enhanced parameter tuning tool and show a tool to identify the source of a model\u2019s numerical problems.<\/p> <p>The workshop will also include a panel discussion, with optimization experts across academia, industries, and Gurobi, who will discuss the origins, veracity, and impact of current optimization myths, misconceptions, and imperfect understandings.<\/p> <p>We\u2019ll also be presenting a live demo of the Burrito Optimization Game (<a href=\"http:\/\/www.burritooptimizationgame.com\/\" data-feathr-click-track=\"true\">BurritoOptimizationGame.com<\/a>), the educational resource that introduces players to the power and capabilities of mathematical optimization.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/KNIME_Logo_Scalable.png\" title=\"KNIME_Logo_Scalable\" alt=\"KNIME_Logo_Scalable\">\n<h2><b>KNIME<\/b><\/h2> <h3>Data Science Life Cycle with KNIME<\/h3> <p>Presented by: Satoru Hayasaka and Aline Bessa<br>Saturday, October 15, 1-3:30pm<br>Convention Center - Room 101<\/p> <p>In this workshop, we will introduce KNIME Analytics Platform, an open-source tool for codeless data science. We will present an overview of how KNIME fits into the data science life cycle from data ingestion to model building. This will include a live demonstration of how to use KNIME. We will then present practical use cases of KNIME in various data science projects, such as text processing, time series analysis, and deep learning. We will also showcase deployment of workflows built in KNIME.&nbsp;No background in KNIME is required to follow the topics in this workshop.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/09\/Lindo_Systems_Inc.png\" title=\"Lindo_Systems_Inc\" alt=\"Lindo_Systems_Inc\">\n<h2><b>LINDO Systems, Inc.&nbsp;<\/b><\/h2> <h2>New Releases of LINDO API 14, What\u2019s<em>Best!<\/em> 18, and LINGO 20<\/h2> <p>Presented by: Linus Schrage<br>Saturday, October 15, 1-3:30pm<br>Convention Center - Room 107<\/p> <p>LINDO Systems has just released new versions of the LINDO API callable library, the What\u2019s<em>Best!<\/em> solver add-in for Excel, and the LINGO modeling language. We will be demonstrating the extensive set of new features found in these three products.<\/p> <p><strong>LINDO API 14: New Features<\/strong> &nbsp;<\/p> <p>Nonlinear\/Global Solver Improvements:<\/p> <ul> <li>Ratio objectives, e.g., max (<em>u+v<\/em>)\/(<em>x+y <\/em>) solved order of magnitude faster.&nbsp;<\/li> <li>Linearization improvements: More expressions (lots more beyond Max, Min, and Abs) can be automatically linearized, so you can now use a fast linear solver vs a much slower (30x?) nonlinear solver.<\/li> <li>Improved exploitation of QP, Conic, Power, Exponential constraints.<\/li> <li>Indicator constraint support, e.g., z = 0 implies x + y &lt;= 0;<\/li> <li>Problematic functions handled more robustly. In consumer behavior models one encounters Power utility function (<em>x^g<\/em>-1)\/<em>g<\/em>&nbsp; or Exponential ratio function (exp(<em>g<\/em>) \u2013 1)\/<em>g<\/em>. LINDO robustly avoids the numerical challenges that occur when <em>g<\/em> approaches 0.<\/li> <\/ul> <p>Linear-Integer solver:<\/p> <ul> <li>Improved heuristics for general integer programs.<\/li> <li>Alternative primal\/dual optima enumeration for an LP.&nbsp; Successive calls to LSgetNextBestSol() nonredundantly gives successive corner points.&nbsp;Standard solution queries can be used&nbsp;following each call to LSgetNextBestSol.&nbsp;<\/li> <\/ul> <p>Interfaces improved for:<\/p> <ul> <li>Julia\/JuMP.<\/li> <li>Python interface installations now easier via pip (pypi.org)<\/li> <li>Matlab interface has two alternative methods for linear and integer models, LSlinprog and LSintprog, mimicking Matlab\u2019s &nbsp;linprog and intprog.<\/li> <\/ul> <p><strong>What\u2019s<em>Best!<\/em><\/strong><strong>: New Features&nbsp;<\/strong><\/p> <p>New capability to accept any Excel function in an optimization model as long as the model is either linear are pure binary(possibly nonlinear).<\/p> <p>Performance Improvements:<\/p> <p>Significantly better handling of \u201cinfinite\u201d Excel ranges, where user specifies an unnecessarily large range, e.g., an entire column.<\/p> <p>SUMIF and SUMIFS are handled better\/faster.<\/p> <p><strong>LINGO 20: New Features&nbsp;<\/strong><\/p> <p>Extensive enhancement to the API&nbsp; interface. It is now much easier to integrate your LINGO &nbsp;model into your own custom designed system.&nbsp; There are improved\/simplified interfaces for:<\/p> <ul> <li>REST API&nbsp; distributed computing interface. If you want to have an &nbsp;optimization based application accessible on the web from smart phones and&nbsp;&nbsp;other devices, this is now easier to do.<\/li> <li>Docker Images are now easier to create.&nbsp; Makes it easier to move an &nbsp;application from one server to another with minimum hassle, Docker has proven to &nbsp;be a popular way of achieving such portability.&nbsp;<\/li> <li>R&nbsp; statistical package interface is now easier\/simpler.&nbsp;<\/li> <li>Python package interface is now easier\/simpler.<\/li> <\/ul> <p>Excel interface is considerably generalized.&nbsp; Much easier to integrate a LINGO model into an Excel&nbsp;&nbsp;spreadsheet.&nbsp; The end user sees it as just a smart Excel spreadsheet that can solve say,&nbsp;&nbsp;a cutting stock problem for metal fabrication, or vehicle routing and delivery problems, or&nbsp;a supply chain shipping assignment problem.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/JMP-logo-horz-blue-and-black-with-tagline.png\" width=\"200\" title=\"JMP-logo-horz-blue-and-black-with-tagline\" alt=\"JMP-logo-horz-blue-and-black-with-tagline\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/JMP-logo-horz-blue-and-black-with-tagline.png 557w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/JMP-logo-horz-blue-and-black-with-tagline-300x82.png 300w\" sizes=\"(max-width: 557px) 100vw, 557px\" \/>\n<h2><strong>JMP, A SAS Company<\/strong><\/h2> <h2>No-Code Predictive Modeling in JMP Pro<\/h2> <p>Presented by: Ross Metusalem, Academic Ambassador<br>Saturday, October 15, 1-3:30pm<br>Convention Center - Room 104<\/p> <p>JMP Pro is no-code statistics and data science software with advanced capabilities in predictive modeling, data preparation, text mining, interactive graphing, and other areas. Its easy and efficient interface allows users of all skill levels to leverage state-of-the-art tools for model building, validation, visualization, and deployment. In this session, we will work through a predictive modeling case study that demonstrates the use of JMP Pro for:<\/p> <ul> <li>Data importing and preparation<\/li> <li>Exploratory data visualization<\/li> <li>Building models with penalized regression, neural nets, boosted trees, and more<\/li> <li>Model cross-validation, comparison, and selection<\/li> <li>Interactively visualizing and exploring model predictions<\/li> <li>Identifying optimal decision thresholds<\/li> <li>Deploying models in Python, SAS, and other languages<\/li> <\/ul>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/nextmv-logo-horizontal-color.jpg\" width=\"230\" title=\"nextmv-logo-horizontal-color\" alt=\"nextmv-logo-horizontal-color\">\n<h2><b>Nextmv<\/b><\/h2> <h2>Work with decisions as code: An introduction to custom modeling with Nextmv<\/h2> <p>Presented by: Ryan O\u2019Neil, Ph.D., Tiffany Bogich, Ph.D., and Carolyn Mooney<br>Saturday, October 15, 4-6:30pm<br>Convention Center - Room 103<\/p> <p>This workshop will provide an overview of the Nextmv decision automation platform for building, testing, and deploying optimization models in Go. We will teach you all of the Go concepts you need to know to start solving optimization problems with the Nextmv CLI and SDK. We\u2019ll talk about custom modeling constructs used, and present several interactive examples of varying complexity and that require different solving paradigms \u2013 from a hybrid ALNS - Decision Diagram solver to an open source MIP solver.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/OptimizationDirectOd_cmyk_Small.jpg\" width=\"230\" title=\"OptimizationDirectOd_cmyk_Small\" alt=\"OptimizationDirectOd_cmyk_Small\">\n<h2><strong>Optimization Direct<\/strong><\/h2> <h2>Solving the Most Difficult Mixed Integer Programming Models with ODH<\/h2> <p>Presented by: Robert Ashford<br>Saturday, October 15, 1-3:30pm<br>Convention Center - Room 103<\/p> <p>ODH is a package for accelerating MIP optimization and extending its range. It runs concurrently and synchronously with a MIP optimizer exchanging information with it.<\/p> <p>Although ODH was primarily designed to enable MIP optimization to be applied to models too large or difficult to be amenable to the standard commercial MIP optimizers such as CPLEX, Gurobi or other commercial packages, it also accelerates the optimization of most models that are regularly solved with standard MIP.<\/p> <p>ODH has been developed by Optimization Direct Inc. over the past 8 years to handle real world customer models for which standard MIP was not effective. On Optimization Direct\u2019s standard hundred model sub-set of mid-sized models taken from its library of nearly 1000 real customer models, ODH|CPLEX and ODH|Gurobi reduce the average optimality gap after two hours to nearly half that found by using the optimizer alone. The set was chosen to be representative rather than amenable to ODH.<\/p> <p>On the MIPLIB version 7 open set of 29 models to which no integer feasible solution had been found, ODH|CPLEX found solutions to 5 of them in 2 hours. Of the remaining 257 models to which no optimal solution had been proven, ODH found and proved optimal solutions to 13 of them and found better solutions to any that had been previously found to 45% of them. Again, with runs of just 2 hours.<\/p> <p>Optimization Direct has customers in the scheduling, telecoms, retail, logistics and supply chain areas who use ODH. At least three of these have applications that would fail without ODH technology. In January 2022, one said \u2018ODH|CPLEX is comparable to the best optimization technology available from anyone on my small models and much superior to any other optimizer on the large ones\u2019.<\/p> <p>ODH uses a number of heuristics, especially a novel decomposition based method, and information from a MIP optimizer to feed that MIP optimizer with good solutions. This is made possible by its new thread synchronization technology within which the ODH and MIP threads can work efficiently.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/provalis-1.png\" width=\"250\" title=\"provalis\" alt=\"provalis\">\n<h2><strong>Provalis Research<\/strong><\/h2> <p>Saturday, October 15, 4-6:30pm<br>Convention Center - Room 107<\/p> <p>Provalis Research CEO Normand Peladeau will identify the main challenges in the analysis of unstructured text data and demonstrates how Provalis Research\u2019s text analytics software WordStat can help you deal with those challenges and analyze large amounts of text data using exploratory text-mining and quantitative content analysis. He will show you how you can quickly and easily explore very large amounts of text data with advanced topic modeling and other techniques as well as how to build and use dictionaries for automated content analysis.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/08\/sas-logo-midnight.png_300.png\" width=\"200\" title=\"sas-logo-midnight.png_300\" alt=\"sas-logo-midnight.png_300\">\n<h2><strong>SAS<\/strong><\/h2> <h2>SAS Analytics, Digital Twins, and Supply Chains<\/h2> <p>Presented by: Yan Xu, R&amp;D Director, Rob Pratt, Senior R&amp;D Manager, Damian Herrick, Principal Data Scientist, and Bahar Biller, Principal Operations Research Specialist<br \/> Saturday, October 15, 1-3:30pm<br \/> Convention Center - Room 105<\/p> <p>SAS offers extensive analytic capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic functionality is also available through the open, cloud-enabled design of SAS<sup>&reg;<\/sup> Viya<sup>&reg;<\/sup>.\u00a0 You can program in SAS or in other languages - Python, Lua, Java, and R. SAS Analytics is equipped with AI-enabled automations and modern low-code or no-code user interfaces that democratize data science usage in your organization and offer unparalleled speed to value.<\/p> <p>We\u2019ll first review the SAS analytics portfolio, then highlight recently added optimization features, and finally explore case studies in optimization, network analytics, and simulation, with an emphasis on projects involving digital twins and supply chains. The concept of digital twin plays a paramount role in the digital transformation efforts of our customers. We will describe how we envision digital twins, share our development framework, and highlight SAS enabling technologies and differentiators. We will further share our experience of building supply chain digital twins and conclude with an overview of SAS customer outcomes.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/Taipy_Logo.png\" width=\"100\" title=\"Taipy_Logo\" alt=\"Taipy_Logo\">\n<h2><strong>Taipy<\/strong><\/h2> <h2>The Next Generation Python Application Builder<\/h2> <p>Presented by: Martin Shell<br>Saturday, October 15, 4-6:30pm<br>Convention Center - Room 101<\/p> <p>This workshop will present an end-to-end view of Taipy, a Python framework for building production-grade web applications designed to bring the value of complex analytics to the end-user.&nbsp;&nbsp;<\/p> <p>Members of the OR community are typically trained in the theory and practice of developing and applying complex algorithms to the solution of organizational problems. Too frequently the results of these efforts are not used to their full potential.&nbsp; The critical piece is the transformation of these models into applications that can be leveraged by business users.&nbsp; The gap is frequently the challenge of collaboration between data scientists and IT professionals.<\/p> <p>Taipy consists of two key components: Taipy GUI and Taipy Core.&nbsp; Each of these is designed to contribute to the creation of high-performance highly responsive interactive applications with a minimum of coding, allowing data scientists to deliver applications for end-users, rather than raw algorithms.<\/p> <p>This workshop will provide an overview of both components of Taipy, demonstrating the creation of a full application from start to finish. We will also present some examples of successful projects completed by customers.&nbsp; Attendees with basic knowledge of Python will leave with the ability to build applications using the open source release of Taipy.<\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-scaled.jpg\" width=\"230\" title=\"UA_Logo_Horizontal\" alt=\"UA_Logo_Horizontal\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-scaled.jpg 2560w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-300x72.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-1024x246.jpg 1024w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-768x184.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-1536x368.jpg 1536w, https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/files\/2022\/07\/UA_Logo_Horizontal-2048x491.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\n<h2><strong>University of Arkansas<\/strong><\/h2> <h2>Analytics in the Classroom: A Hands-on Approach<\/h2> <p>Presented by: Ron Freeze, Director of Enterprise Systems, Sam M. Walton College of Business&nbsp;<br>Saturday, October 15, 4-6:30pm<br>Convention Center - Room 102<\/p> <p>The University of Arkansas would like to invite you to this workshop that will provide faculty participants with hands-on training in the SAS Viya analytics applications. These exercises focus on the use of data analytics and big data. The workshop will focus on connecting directly from SAS Viya to the Dillards data set that resides on the Teradata Intelliflex platform at the University of Arkansas. The data set used is updated weekly by Dillards and allows predictive analytics along with machine learning (and other analytic techniques) to be tested and validated in real time during the semester.&nbsp;&nbsp; All materials and resources demonstrated at the workshop are available free of charge to the participants and the students in their courses.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/pages\/714","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/users\/1001077"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/comments?post=714"}],"version-history":[{"count":50,"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/pages\/714\/revisions"}],"predecessor-version":[{"id":2077,"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/pages\/714\/revisions\/2077"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/media\/7"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/indianapolis2022\/wp-json\/wp\/v2\/media?parent=714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}